2014
DOI: 10.1016/j.proeng.2014.12.166
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Performance Evaluation and Remaining Life Prediction of an Aged Bridge by J-BMS

Abstract: This paper describes health examination and remaining service life prediction procedures for an aged reinforced concrete (RC) Tgirder bridge via visual inspection data. The Bridge Management System (J-BMS) that was previously developed by the authors, and which is capable of forecasting the deterioration process of existing bridge members, was applied to evaluate the safety indices (health score) and remaining service life of the subject bridge based on these test results. Using these procedures, the remaining… Show more

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Cited by 9 publications
(5 citation statements)
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“…Therefore, small hydrogenerations were so quickly built in the Caucasus, where the water flow in the winter practically does not freeze over, and so slowly, reluctantly they are built in Siberia [15][16]. The problem can be solved by creating a reservoir of sufficient volume, which would somehow accumulate power in the summer in order to deliver it in the winter.…”
Section: Fig 1 Chemal Hydroelectric Station (Altai Territory)mentioning
confidence: 99%
“…Therefore, small hydrogenerations were so quickly built in the Caucasus, where the water flow in the winter practically does not freeze over, and so slowly, reluctantly they are built in Siberia [15][16]. The problem can be solved by creating a reservoir of sufficient volume, which would somehow accumulate power in the summer in order to deliver it in the winter.…”
Section: Fig 1 Chemal Hydroelectric Station (Altai Territory)mentioning
confidence: 99%
“…The bridge evaluation and remaining service life prediction processes were conducted in order to efficiently maintain existing bridges, it was based on the results of periodical visual inspections [5]. Conventional methods for crack detection were applied by experienced inspectors who mark the cracks manually and read the width of the cracks with their naked eyes [6,7].…”
Section: Fuzzy Logicmentioning
confidence: 99%
“…Maintaining bridges with optimal maintenance activities by forecasting bridge performance with periodical inspection data is an interesting issue. These days, the bridge deterioration model based on regression analysis is conducted to derive an efficient maintenance method for bridge management system in advanced countries, such as the USA, Japan, and Australia [1][2][3]. Domestic and foreign research trends related to bridge maintenance denote that they have focused on estimating the bridge performance changes with high accuracy through monitoring technologies based on unmanned inspection devices (sensors, drones, or robots) and by establishing an optimal maintenance decision making process system [4][5][6][7][8][9][10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%